Benchmarking industrial performance at the country level: The UNIDO competitive industrial performance index

2012 ◽  
Vol 13 (1) ◽  
pp. 47-68
Author(s):  
Dewi Setiawati ◽  
Nachrowi Djalal Nachrowi

AbstractThis research develops Industrial Performance Index and shows annual performance index among industries through all and each indicator from 2004 to 2007. There are three criteria and 19 indicators, (1) output (value added, wage, firm), (2) production factor (labor, capital, and technological progress), (3) production cost (labor and capital productivity, material and energy efficiency). The result shows the best performance industry, (1) in 2007 is transportation industry excluded four or more wheel vehicle, (2) in 2006 is recycling industry, (3) in 2005 is machinery and office equipment industry, (4) in 2004 is food and beverage industry.Keywords: Industrial Performance Index, Spider Diagram AbstrakStudi ini membangun indeks kinerja industri relatif subsektor industri per-indikator dan subsektor industri unggulan pada periode tertentu. Ada tiga ukuran dan sembilan belas indikator yang dipilih yaitu, output (nilai tambah, upah, jumlah perusahaan), faktor produksi (tenaga kerja, barang modal, dan kemajuan teknologi), dan biaya produksi (produktivitas tenaga kerja dan barang modal, efisiensi penggunaan material dan energi). Hasil perhitungan memperlihatkan subsektor industri unggulan pada tahun: (i) 2007 adalah industri alat angkutan, selain kendaraan bermotor roda empat atau lebih, (ii) 2006 adalah industri daur ulang, (iii) 2005 adalah industri mesin dan peralatan kantor, akuntansi dan pengolahan data, dan (iv) 2004 adalah industri makanan dan minuman.Kata kunci: Indeks Kinerja Industri, Spider Diagram


2019 ◽  
Vol 24 (3) ◽  
pp. 231-242 ◽  
Author(s):  
Herbert W. Marsh ◽  
Philip D. Parker ◽  
Reinhard Pekrun

Abstract. We simultaneously resolve three paradoxes in academic self-concept research with a single unifying meta-theoretical model based on frame-of-reference effects across 68 countries, 18,292 schools, and 485,490 15-year-old students. Paradoxically, but consistent with predictions, effects on math self-concepts were negative for: • being from countries where country-average achievement was high; explaining the paradoxical cross-cultural self-concept effect; • attending schools where school-average achievement was high; demonstrating big-fish-little-pond-effects (BFLPE) that generalized over 68 countries, Organisation for Economic Co-operation and Development (OECD)/non-OECD countries, high/low achieving schools, and high/low achieving students; • year-in-school relative to age; unifying different research literatures for associated negative effects for starting school at a younger age and acceleration/skipping grades, and positive effects for starting school at an older age (“academic red shirting”) and, paradoxically, even for repeating a grade. Contextual effects matter, resulting in significant and meaningful effects on self-beliefs, not only at the student (year in school) and local school level (BFLPE), but remarkably even at the macro-contextual country-level. Finally, we juxtapose cross-cultural generalizability based on Programme for International Student Assessment (PISA) data used here with generalizability based on meta-analyses, arguing that although the two approaches are similar in many ways, the generalizability shown here is stronger in terms of support for the universality of the frame-of-reference effects.


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